scipy.special.i0e#
- scipy.special.i0e(x, out=None) = <ufunc 'i0e'>#
Exponentially scaled modified Bessel function of order 0.
Defined as:
i0e(x) = exp(-abs(x)) * i0(x).
- Parameters:
- xarray_like
Argument (float)
- outndarray, optional
Optional output array for the function values
- Returns:
- Iscalar or ndarray
Value of the exponentially scaled modified Bessel function of order 0 at x.
Notes
The range is partitioned into the two intervals [0, 8] and (8, infinity). Chebyshev polynomial expansions are employed in each interval. The polynomial expansions used are the same as those in
i0
, but they are not multiplied by the dominant exponential factor.This function is a wrapper for the Cephes [1] routine
i0e
.i0e
is useful for large arguments x: for these,i0
quickly overflows.Array API Standard Support
i0e
has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variableSCIPY_ARRAY_API=1
and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.Library
CPU
GPU
NumPy
✅
n/a
CuPy
n/a
✅
PyTorch
✅
✅
JAX
✅
✅
Dask
✅
n/a
See Support for the array API standard for more information.
References
[1]Cephes Mathematical Functions Library, http://www.netlib.org/cephes/
Examples
In the following example
i0
returns infinity whereasi0e
still returns a finite number.>>> from scipy.special import i0, i0e >>> i0(1000.), i0e(1000.) (inf, 0.012617240455891257)
Calculate the function at several points by providing a NumPy array or list for x:
>>> import numpy as np >>> i0e(np.array([-2., 0., 3.])) array([0.30850832, 1. , 0.24300035])
Plot the function from -10 to 10.
>>> import matplotlib.pyplot as plt >>> fig, ax = plt.subplots() >>> x = np.linspace(-10., 10., 1000) >>> y = i0e(x) >>> ax.plot(x, y) >>> plt.show()